Shanghai Regulator Issues Comprehensive AI Guidelines for Banking and Insurance Sector
On September 24, the Shanghai Financial Regulatory Bureau issued 16 measures to promote AI application in banking and insurance. The policy encourages AI use in smart marketing, credit, claims, and risk control, supports vertical model development, and proposes a pilot for generative AI large models in finance. It requires risk management for external AI services and plans a tiered regulatory framework with differentiated tolerance.
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Shanghai Regulator Allows Gradual Direct Customer-Facing AI Model Use in Finance
On September 24, the Shanghai Financial Regulatory Bureau issued a policy document titled 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries,' containing 16 specific measures across three areas. The measures encourage financial institutions to deepen AI use in core business scenarios such as smart marketing, credit, claims, and risk control, and to explore financial intelligent agents. The bureau supports optimizing computing power allocation, building enterprise-level AI platforms, and establishing a 'data+model' dual-closed-loop mechanism. On compliance, it requires filing or registration of generative AI models for public services, establishing high-risk application access controls, and strengthening model risk management to prevent AI hallucinations, black-box issues, and security vulnerabilities. Notably, the bureau will explore a pilot mechanism for generative AI in finance, allowing institutions to gradually deploy direct customer-facing large model applications in controlled environments, aligned with cyberspace administration filing mechanisms. It also plans a tiered, inclusive regulatory framework with differentiated tolerance for varying risk levels.
Read sourceShanghai Regulator Encourages Banks and Insurers to Deepen AI Application
The Shanghai Financial Regulatory Bureau has issued a policy document titled 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries,' which outlines 16 specific measures across three major areas. The initiative aims to drive financial institutions in the jurisdiction to implement an 'AI+' action plan, supporting Shanghai's goals of becoming an international financial center and a global fintech hub. In terms of strengthening digital and intelligent empowerment, the regulator encourages financial institutions to deepen the application of artificial intelligence in core business scenarios such as smart marketing, smart credit, smart claims verification, and smart risk control. It also calls for the cautious exploration of building financial intelligent agents, pushing service models to evolve from digital empowerment to intelligent-driven evolution.
Read sourceShanghai Regulator Supports Financial Institutions in Developing Vertical AI Models
On September 24, the Shanghai Financial Regulatory Bureau issued a set of measures to promote the integration of artificial intelligence with the banking and insurance industries. The measures, titled 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries,' encourage financial institutions to use AI to optimize marketing, services, and business processes, including intelligent credit, claims, and operations. The bureau supports institutions in independently developing vertical domain models, balancing real-time, accuracy, and interpretability needs. It recommends a procurement strategy of 'general large model as a fallback plus industry model for implementation' and a layered model architecture combining large and lightweight models. The measures also require institutions to address AI security risks, including building secure infrastructure, using trusted chips and data, establishing data security mechanisms for AI training, and preventing deepfake and AI hallucination risks. The policy aims to drive a shift from digital empowerment to intelligent evolution in financial services.
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Shanghai Regulator Backs Banks and Insurers in Building Hybrid Cloud AI Compute Platforms
On September 24, the Shanghai Financial Regulatory Bureau issued a set of measures to promote the application of artificial intelligence in the city's banking and insurance industries. The document specifically calls for optimizing intelligent computing resource allocation. It supports financial institutions in adopting a 'rent-and-purchase' model to build hybrid cloud computing platforms, provided they operate under security and compliance conditions. Institutions are encouraged to lease computing capacity from national computing nodes or industry infrastructure to achieve flexible allocation, elastic scheduling, and linear expansion of intelligent computing resources. The measures also advocate improving cloud-edge collaborative architectures by deploying cloud computing power to edge scenarios and combining distributed storage technology to enhance data processing efficiency, thereby meeting high-concurrency and high-capacity demands.
Read sourceShanghai Regulator Issues Measures to Support AI Model Development in Banking and Insurance
On September 24, the Shanghai Financial Regulatory Bureau issued the 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries'. The measures encourage financial institutions to independently develop vertical domain models, balancing priorities such as real-time performance, accuracy, and explainability across different application scenarios. It recommends a model procurement strategy of 'general large model as a fallback + industry large model for implementation', and advocates for establishing a hierarchical, collaborative model architecture combining large and lightweight models. The bureau also supports creating a one-stop large model application platform with scenario-based templates to lower the barrier to entry. Furthermore, financial institutions are encouraged to improve their AI evaluation systems, integrate industry practices with risk control requirements, and participate in formulating model assessment and certification standards.
Read sourceShanghai Regulator Orders Banks to Build Firewalls for External AI Services
The Shanghai Financial Regulatory Bureau has issued a set of measures titled 'Promoting the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The measures require financial institutions using external AI technologies or services—such as external computing power, model services, or data processing—to integrate them into their information technology outsourcing risk management system. Institutions must establish an outsourcing management mechanism, set up effective risk isolation 'firewalls,' and implement a list-based management system for outsourcing partners. They are also required to strictly evaluate the strengths, weaknesses, and suitability of externally introduced models. Additionally, financial institutions must accurately identify important outsourcing situations, such as the centralized storage or processing of important data and customers' personal sensitive information, or services that have a significant impact on business operations, and report these to the Shanghai Financial Regulatory Bureau in advance as stipulated.
Read sourceShanghai Regulator Orders Banks, Insurers to Assess Risks of External AI Models
Shanghai's financial regulatory bureau has issued a set of measures to guide the application of artificial intelligence in the city's banking and insurance sectors. The directive, published on September 24, requires financial institutions to treat the use of external AI technology or services—including external computing resources, model services, and data processing—as part of their information technology outsourcing risk management system. Institutions must establish an outsourcing management mechanism, set up effective risk isolation firewalls, and implement a list-based management system for outsourcing partners. They are also required to strictly evaluate the strengths, weaknesses, and suitability of externally introduced AI models. Furthermore, institutions must accurately identify important outsourcing situations, such as the centralized storage or processing of important data and customers' sensitive personal information, and report such cases to the Shanghai Financial Regulatory Bureau in advance as stipulated.
Read sourceShanghai Regulator Orders Banks, Insurers to Assess Risks of External AI Models
The Shanghai Financial Regulatory Bureau has issued a set of measures titled 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The directive requires financial institutions using external AI technologies or services—such as external intelligent computing resources, model services, or data processing—to integrate these into their information technology outsourcing risk management system. Institutions must establish an outsourcing management mechanism, set up effective risk isolation 'firewalls,' implement a list-based management system for outsourcing partners, and strictly evaluate the advantages, disadvantages, and suitability of externally introduced models. Furthermore, institutions are required to accurately identify important outsourcing situations, such as the centralized storage or processing of important data and customers' personal sensitive information, and report these to the Shanghai Financial Regulatory Bureau in advance as stipulated.
Read sourceShanghai Regulator Issues Rules on Financial Firms' Use of External AI Technology
On September 24, the Shanghai Financial Regulatory Bureau issued the 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The measures require financial institutions using external AI technologies or services—such as external intelligent computing resources, model services, and data processing—to integrate them into their information technology outsourcing risk management system. Institutions must establish an outsourcing management mechanism, set up effective risk isolation 'firewalls,' implement a list-based management system for outsourcing partners, and strictly evaluate the advantages, disadvantages, and suitability of externally introduced models. Additionally, institutions must accurately identify important outsourcing situations, such as the centralized storage or processing of important data and customers' personal sensitive information that significantly impacts business operations, and report them to the Shanghai Financial Regulatory Bureau in advance as stipulated.
Read sourceShanghai Regulator Explores Pilot Mechanism for Generative AI in Finance
On September 24, the Shanghai Financial Regulatory Bureau issued the 'Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The document outlines plans to explore the establishment of a pilot mechanism for the application of generative AI large models in the financial sector. It aims to actively seek Shanghai's inclusion in a regional pilot program by the National Financial Regulatory Administration, allowing financial institutions to gradually deploy large model applications that directly interact with customers in a controlled environment. This mechanism will be coordinated with the cyberspace administration's generative AI service filing and application registration processes. The regulator also proposes studying a tolerant yet prudent, classification-based AI regulatory framework, exploring a fault-tolerance mechanism for AI applications, and establishing differentiated tolerance levels for events of varying risk. The goal is to accelerate the formation of a dynamic, agile, and multi-stakeholder AI governance structure.
Read sourceShanghai Regulator to Pilot Generative AI Large Model Applications in Finance
On September 24, the Shanghai Financial Regulatory Bureau issued 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The document outlines plans to explore a pilot mechanism for the application of generative AI large models in the financial sector. It aims to have Shanghai included in a regional pilot program by the National Financial Regulatory Administration, allowing financial institutions to gradually deploy large models directly facing customers in a controlled environment. This initiative will be coordinated with the cyberspace administration's registration and filing mechanisms for generative AI services. The bureau also plans to study a flexible, tiered regulatory framework for AI, including a fault-tolerance mechanism that differentiates tolerance levels based on risk severity, to foster a dynamic and collaborative AI governance structure.
Read sourceShanghai Regulator Issues Measures to Promote AI Use in Banking and Insurance
The Shanghai Financial Regulatory Bureau has issued a set of measures to promote the application of artificial intelligence in the city's banking and insurance industries. The document encourages financial institutions to use AI to optimize smart marketing and omnichannel services, improving efficiency and customer experience. It calls for the intelligent reshaping of business processes, including smart credit, smart claims verification, and operations, to enhance business efficiency and risk management. The measures also aim to strengthen internal management through AI, boosting office, investment research, development, and operational efficiency. A key focus is building an intelligent risk control system with multi-dimensional models to improve early warning and prevention of risks such as public opinion monitoring, illegal fundraising, fraud, and money laundering. The regulator supports financial institutions in cautiously exploring next-generation intelligent terminals and financial AI agents, provided risks are controllable, to transition service models from digital empowerment to intelligent driving.
Read sourceShanghai Financial Regulator Issues Measures to Promote AI Application in Banking and Insurance
On September 24, the Shanghai Financial Regulatory Bureau issued the 'Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The measures encourage financial institutions to adopt AI technology to optimize intelligent marketing and omnichannel services, thereby improving service efficiency, precision, and customer experience. They call for the intelligent reshaping of business processes, deepening applications in intelligent credit, intelligent claims verification, and operations to enhance business efficiency and risk management. The measures also aim to strengthen internal management through AI, boosting office, investment research, R&D, and operational efficiency. A key focus is building an intelligent risk control system with multi-dimensional models to improve forward-looking early warning and prevention capabilities for risks such as public opinion monitoring, illegal fundraising, fraud, and money laundering. The document supports financial institutions in cautiously exploring next-generation intelligent terminals and financial AI agents, provided risks are controllable, to evolve service models from digital enablement to intelligent-driven approaches.
Read sourceShanghai Regulator Pushes Banks and Insurers to Strengthen Data Governance and AI Use
The Shanghai Financial Regulatory Bureau has issued a set of measures titled 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The directive urges financial institutions to enhance data governance by improving data management systems and quality control mechanisms. It encourages the integration of multiple data sources to build high-quality datasets and establish full-process management standards for data collection, cleaning, standardization, and labeling. Institutions are also advised to build knowledge bases, create knowledge maps, and implement lifecycle management for knowledge generation, storage, updates, and retirement. The measures further promote the use of privacy computing and blockchain technology to enable lawful data sharing under privacy protection and security compliance requirements. The initiative aims to leverage data as a key asset and accelerate AI adoption in the financial sector.
Read sourceShanghai Regulator Supports Financial Institutions in Developing Vertical AI Models
On September 24, the Shanghai Financial Regulatory Bureau issued a set of measures to promote the application of artificial intelligence in the banking and insurance industries. The policy encourages financial institutions to optimize intelligent computing resource allocation by adopting a 'rent-and-purchase' model to build hybrid cloud computing platforms, leasing national computing power nodes or industry infrastructure for flexible and scalable computing. It also supports the coordinated development of vertical domain models, allowing institutions to independently develop such models and balance priorities like real-time performance, accuracy, and explainability across different scenarios. The regulator recommends a procurement strategy of 'general large models as a base plus industry large models for implementation,' establishing a layered model architecture combining large and lightweight models, and building a one-stop large model application platform with scenario-based templates to lower the barrier to entry. Additionally, financial institutions are encouraged to improve AI evaluation systems, integrate industry practices with risk control requirements, and participate in setting model assessment and certification standards.
Read sourceShanghai Regulator Issues Measures to Promote AI Application in Banking and Insurance
On September 24, the Shanghai Financial Regulatory Bureau issued the 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The measures outline policies to optimize intelligent computing resource allocation, supporting financial institutions in adopting a 'rental and purchase combined' model to build hybrid cloud computing platforms and lease national computing power nodes or industry infrastructure for flexible, scalable AI computing. The document also calls for coordinating the development and application of vertical domain models, encouraging institutions to develop proprietary models, adopt a strategy of 'general large models as a base plus industry large models for implementation,' and build a layered collaborative model architecture combining large and lightweight models. Additionally, it urges financial institutions to improve AI evaluation systems, participate in setting model assessment and certification standards, and balance priorities across real-time performance, accuracy, and interpretability in different application scenarios.
Read sourceShanghai Regulator Issues Measures to Promote AI Application in Banking and Insurance
On September 24, the Shanghai Financial Regulatory Bureau issued a set of measures to promote the application of artificial intelligence in the local banking and insurance industries. The measures encourage financial institutions to use AI technology to optimize smart marketing and omnichannel services, improving service efficiency, accuracy, and customer experience. They also call for the intelligent reshaping of business processes, deepening applications in smart credit, smart claims verification, and operations to enhance efficiency and risk management. Internal management functions such as office work, investment research, R&D, and operations are to be empowered by AI. A key focus is building an intelligent risk control system with multi-dimensional models to improve early warning and prevention capabilities for risks including public opinion, illegal fundraising, fraud, and money laundering. The regulator supports institutions, under controllable risk conditions, to cautiously explore next-generation intelligent terminals and financial AI agents, evolving service models from digital enablement to intelligent driving.
Shanghai Regulator Supports Financial Institutions in Developing Vertical AI Models
On September 24, the Shanghai Financial Regulatory Bureau issued the 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The measures encourage financial institutions to independently develop vertical domain models, balancing priorities such as real-time performance, accuracy, and explainability across different application scenarios. It recommends a model procurement strategy of 'general large models as a fallback plus industry large models for deployment,' establishing a layered collaborative model architecture combining large and lightweight models. The bureau also supports building a one-stop large model application platform with scenario-based templates to lower the adoption barrier. Additionally, financial institutions are encouraged to improve AI evaluation systems, align industry practices with risk control requirements, and participate in formulating model assessment and certification standards.
Read sourceShanghai Regulator Issues Measures to Promote AI Use in Banking and Insurance
The Shanghai Financial Regulatory Bureau has issued a set of measures titled 'Several Measures to Promote the Application of Artificial Intelligence in Shanghai's Banking and Insurance Industries.' The policy encourages financial institutions to adopt AI technologies to optimize intelligent marketing and omnichannel services, thereby improving service efficiency, accuracy, and customer experience. It calls for the intelligent reshaping of business processes, including smart credit, smart claims verification, and operational applications, to enhance business efficiency and risk management. The measures also focus on strengthening internal management through AI, improving office, investment research, R&D, and operational efficiency. A key component is the construction of an intelligent risk control system, involving multi-dimensional risk models to enhance proactive early warning and prevention capabilities for risks such as public opinion monitoring, illegal fundraising, fraud, and money laundering. The bureau supports financial institutions in cautiously exploring next-generation intelligent terminals and financial AI agents, provided risks are controllable, to evolve service models from digital empowerment to intelligent driving.
Read sourceShanghai Regulator Proposes Pilot Mechanism for Generative AI Large Models in Finance
On September 24, the Shanghai Financial Regulatory Bureau issued a document proposing a pilot mechanism to promote the application of bank AI large models in the financial sector. The initiative aims to secure Shanghai's inclusion in a regional pilot program by the National Financial Regulatory Administration, allowing financial institutions to gradually deploy large models directly facing customers in a controlled environment. This mechanism will be coordinated with the cyberspace administration's registration and filing system for generative AI services. The regulator also plans to study a flexible, tiered regulatory framework for AI, exploring a fault-tolerance mechanism that differentiates tolerance levels based on risk severity. The goal is to accelerate the formation of a dynamic, agile, and multi-stakeholder AI governance structure. The report originates from Securities Times.
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